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Pregled bibliografske jedinice broj: 330957

Application of Adaptive Kalman Filter for Estimation of Power Train Variables

Pavković, Danijel; Deur, Joško; Kolmanovsky, Ilya; Hrovat, Davor
Application of Adaptive Kalman Filter for Estimation of Power Train Variables // Proceedings of 2008 SAE International Congress and Exposition, Vehicle Dynamics and Simulation, 2008 (SP-2157), Detroit, MI, USA, April 2008.
Detroit (MI): SAE International, 2008. str. 1-12 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 330957 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Application of Adaptive Kalman Filter for Estimation of Power Train Variables

Autori
Pavković, Danijel ; Deur, Joško ; Kolmanovsky, Ilya ; Hrovat, Davor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 2008 SAE International Congress and Exposition, Vehicle Dynamics and Simulation, 2008 (SP-2157), Detroit, MI, USA, April 2008. / - Detroit (MI) : SAE International, 2008, 1-12

ISBN
978-0-7680-1631-4

Skup
2008 SAE World Congress

Mjesto i datum
Detroit (MI), Sjedinjene Američke Države, 14.04.2008. - 17.04.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Adaptive Kalman filter; estimation; load torque; air mass flow; tire friction; road condition

Sažetak
The paper presents the estimator design procedures for automotive power train systems based on the adaptive Kalman filter. The Kalman filter adaptation is based on a simple and robust algorithm that detects sudden changes of power train variables. The adaptive Kalman filter has been used to estimate the SI engine load torque and air mass flow, and also the tire traction force and road condition. The presented experimental results indicate that proposed estimators are characterized by favorable response speeds and good noise suppression abilities.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA

Projekti:
120-0361621-1896 - MODELIRANJE I UPRAVLJANJE HIBRIDNIM VOZILIMA (Petrić, Joško, MZOS ) ( CroRIS)
120-1201773-1771 - Regulacija i estimacija dinamike vozila (Deur, Joško, MZOS ) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Danijel Pavković (autor)

Avatar Url Joško Deur (autor)

Citiraj ovu publikaciju:

Pavković, Danijel; Deur, Joško; Kolmanovsky, Ilya; Hrovat, Davor
Application of Adaptive Kalman Filter for Estimation of Power Train Variables // Proceedings of 2008 SAE International Congress and Exposition, Vehicle Dynamics and Simulation, 2008 (SP-2157), Detroit, MI, USA, April 2008.
Detroit (MI): SAE International, 2008. str. 1-12 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pavković, D., Deur, J., Kolmanovsky, I. & Hrovat, D. (2008) Application of Adaptive Kalman Filter for Estimation of Power Train Variables. U: Proceedings of 2008 SAE International Congress and Exposition, Vehicle Dynamics and Simulation, 2008 (SP-2157), Detroit, MI, USA, April 2008..
@article{article, author = {Pavkovi\'{c}, Danijel and Deur, Jo\v{s}ko and Kolmanovsky, Ilya and Hrovat, Davor}, year = {2008}, pages = {1-12}, keywords = {Adaptive Kalman filter, estimation, load torque, air mass flow, tire friction, road condition}, isbn = {978-0-7680-1631-4}, title = {Application of Adaptive Kalman Filter for Estimation of Power Train Variables}, keyword = {Adaptive Kalman filter, estimation, load torque, air mass flow, tire friction, road condition}, publisher = {SAE International}, publisherplace = {Detroit (MI), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {Pavkovi\'{c}, Danijel and Deur, Jo\v{s}ko and Kolmanovsky, Ilya and Hrovat, Davor}, year = {2008}, pages = {1-12}, keywords = {Adaptive Kalman filter, estimation, load torque, air mass flow, tire friction, road condition}, isbn = {978-0-7680-1631-4}, title = {Application of Adaptive Kalman Filter for Estimation of Power Train Variables}, keyword = {Adaptive Kalman filter, estimation, load torque, air mass flow, tire friction, road condition}, publisher = {SAE International}, publisherplace = {Detroit (MI), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }

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  • Scopus

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